Description
We are seeking a highly skilled, entrepreneurial Quantitative Developer to join an existing collaborative quantitative trading pod. This is a hands-on role at the intersection of technology, data, research, and trading, with direct exposure to the Senior Portfolio Manager and quantitative researchers.
The role spans the full systematic trading stack, with a particular focus on research infrastructure, data systems, signal deployment, and production monitoring.
Key responsibilities include:
- Owning and continuously improving the team's research platform, including the backtesting framework, simulation environments, and caching/compute layers
- Building and maintaining tooling that enables researchers to develop, test, and deploy signals efficiently
- Integrating Agentic AI workflows where they can improve productivity, model development, or operational robustness
- Designing, organizing, and maintaining large-scale datasets and data pipelines used across research and production
- Optimizing and supporting the team's interfaces with central and external systems, including execution, risk monitoring, and compute/resource management
- Helping productionize and monitor trading signals, ensuring robustness, observability, and operational reliability
Preferred technical skills include:
- Strong Python engineering skills, with the ability to write clean, scalable, production-quality code
- Experience with performance optimization in Python and with parallel/distributed workloads
- Familiarity with tools such as Kubernetes, Ray, Dask, Polars, Slurm, or similar distributed compute/orchestration frameworks
- Experience with SQL; familiarity with modern data warehouses such as Snowflake is a plus
- Strong Linux experience
- Solid understanding of system design, design patterns, and data architecture
Preferred experience includes:
- 3+ years of experience as a quantitative developer, research engineer, or software/data engineer, ideally in a systematic trading or financial context
- Experience building or supporting research platforms, simulation frameworks, or quantitative data infrastructure
- Experience creating, organizing, and maintaining custom datasets and production-grade data pipelines
- Experience supporting the deployment, monitoring, and maintenance of live research outputs or trading models
- Experience working closely with researchers in a fast-paced, iterative environment
Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future.